3 papers
cs.CL2025
BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR
Guodong Ma, Wenxuan Wang, Lifeng Zhou +3
Recently, the Mixture of Expert (MoE) architecture, such as LR-MoE, is often used to alleviate the impact of language confusion on the multilingual ASR (MASR) task. However, it sti…
cs.SD2023
LAE-ST-MoE: Boosted Language-Aware Encoder Using Speech Translation Auxiliary Task for E2E Code-switching ASR
Guodong Ma, Wenxuan Wang, Yuke Li +3
Recently, to mitigate the confusion between different languages in code-switching (CS) automatic speech recognition (ASR), the conditionally factorized models, such as the language…
cs.SD2023
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition
Wenxuan Wang, Guodong Ma, Yuke Li +1
Multilingual speech recognition for both monolingual and code-switching speech is a challenging task. Recently, based on the Mixture of Experts (MoE), many works have made good pro…